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The successful candidate will develop generative machine-learning methods for amorphous molecular thin films — the supramolecular structures that govern the performance of organic-electronic materials
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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
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interactions at both local and larger spatial scales. The PhD position is in a project which will support effective strategic planning for coastal marine restoration by developing key performance indicators
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: https://wasp-sweden.org/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous
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catalyst structure–performance relationships. The most promising catalysts will then be optimized and evaluated under practically relevant electrolysis conditions, contributing to the development of a
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- Selection Methods: Evaluation of the academic record (AR) VII.I - AR - In the evaluation of the academic record, the candidates' academic performance will be assessed according to the following weights and
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that provide direct optical access to spin-physics and offer a tunability approaching that of cold-atom simulators. The Quantum Opto-Electronics Group (QOEG; https://smolenski-lab.com ), led by Prof. Dr. Tomasz
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Where to apply Website https://t.ly/OcKlA Requirements Research FieldNeurosciencesEducation LevelMaster Degree or equivalent Skills/Qualifications Hold a BSc/MSc in Neuroscience or Translational Medicine
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, Switzerland) under co-supervision with Dr. Jakob Schwiedrzik and Prof. Dr. Johann MICHLER at EPFL and Empa (Thun, Switzerland) and will be based at the Laboratory for High Performance Ceramics of Empa
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, more comprehensive guidance on EGs design and operation. The overall aim of this research is to understand and measure the thermomechanical response of energy piles under complex thermomechanical loading